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Algorithmic trading using Price action strategies
Figures detection, Patterns detection, Backtest, using MetaTrader 5 and Python. Bots included
Created by Lucas Inglese, offered on Udemy
To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 4126 students which left 11 reviews at an average rating of 4.55, which is average.
We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 5 hours 31 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 3 hours 55 minutes.
This course currently has a bestcourses score of 6.4/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.
Do you want to create algorithmic trading strategies?
You already have some trading knowledge and you want to learn about quantitative trading/finance?
You are simply a curious person who wants to get into this subject to monetize and diversify your knowledge?
If you answer at least one of these questions, I welcome you to this course. All the applications of the course will be done using Python. However, for beginners in Python, don't panic! There is a FREE python crash course included to master Python.
In this course, you will learn how to use price action to create robust strategies. You will perform quantitative analysis to find patterns in the data. Once you will have many profitable strategies, we will learn how to perform vectorized backtesting. Then you will apply portfolio techniques to reduce the drawdown and maximize your returns.
You will learn and understand quantitative analysis used by portfolio managers and professional traders:
Modeling: price action (Support, resistance) patterns detection (trading figures detection)
Backtesting: Make a backtest properly without error and minimize the computation time (Vectorized Backtesting).
Portfolio management: Combine strategies properly (Strategies portfolio).
Why this course and not another?
This is not a programming course nor a trading course or a machine learning course. It is a course in which statistics, programming and financial theory are used for trading.
This course is not created by a data scientist but by a degree in mathematics and economics specializing in mathematics applied to finance.
You can ask questions or read our quantitative finance articles simply by registering on our free Discord forum.
Without forgetting that the course is satisfied or refunded for 30 days. Don't miss an opportunity to improve your knowledge of this fascinating subject.
What you will learn
- Create an algorithmic trading strategy using patterns detection or figures detection from scratch
- Put any algorithm in live trading using MetaTrader 5 and Python
- Data Cleaning using Pandas
- Manage financial data using Numpy, Pandas and Matplotlib
- Python programming for algorithmic trading
- Combine price action and technical analysis to optimize your performance
- Detect trading figures through the candlestick